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COVID-19: We Peaked Once. NYC Should Take All Precautions to Avoid a Second Wave

Commentary | Open Access Volume 8 | Issue 1 |

  • 1. Investigator at kindred healthcare, USA
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Corresponding Authors
Investigator at kindred healthcare, USA
Abstract

The COVID-19 pandemic called for different measures to help stop its spread within communities. Such measures included the cancellation of any events or gatherings that included a large group of people, distance learning for schools and colleges, shutting down of nonessential businesses, mandating mask-wearing in public places, and enforcing social distances, to a name a few. We saw the COVID-19 cases reach their peak -- the first wave -- from March 2020 to May 2020. The hospitals were overwhelmed during this time and the mortality rate due to COVID-19 during these months (compared to other months) told the tale. As of December 2020, we are seeing an increase of cases again; and with this paper, I hope to shed a light on the first wave that happened -- the horrific number of cases and the higher mortality rate -- to help people see the devastation of it all and how we should take all necessary precautions to avoid a second wave.

Citation

Shirke V (2021) COVID-19: We Peaked Once. NYC Should Take All Precautions to Avoid a Second Wave. Ann Public Health Res 8(1): 1102.

INTRODUCTION

Topic

According to the New York City data, since the end of February 2020, there are a total of 307,268 COVID-19 cases with 19,619 deaths so far that the city has seen. The city saw its first wave of pandemic -- the highest cases -- from March 2020 to May 2020. And after that, with effective measures that were taken, the cases count subsided. Unfortunately, we are seeing a sharp increase of cases in the month of December and the fear of second wave looms.

Disclaimer: The data used in this paper is up until December 3, 2020. [The recent daily cases count is still showing a surge in the month of December as of today - December 19, 2020.]

Data

The data used in this paper comes from New York State database -- which only included cases from New York City. It is a complete data, and no data cells were missing. The data consists of all the COVID-19 patients in the city from 2/29/2020 to 12/3/2020. The data does not have any discrepancies as they were directly reported by hospitals and COVID-19 testing sites. The data is complete, valid, and accurate.

New York City (and the world) has been through a lot these past months due to a pandemic that is difficult to contain. The target population within the analysis is the total number of COVID-19 cases in New York City. On the other hand, the reduced target population used is the total number of COVID-19 cases in the city during the first wave of pandemic only. This sampling scheme was done through convenient sampling and the data represents multistage sampling scheme. The primary stage is all hospitals in New York City, the secondary stage is all hospitals with COVID-19 cases, and the tertiary stages is all hospitals with COVID-19 related deaths. The data was taken with equal probability because each hospital is required by the law to submit the COVID-19 data.

EXPLORATORY ANALYSIS

As of December 2020, New York might be heading to another COVID-19 wave - its second. I hope that the analysis of the daily COVID-19 cases compared to that during the peak (first wave) makes people understand the necessity to not let the second wave become a reality. New York City saw its first wave of COVID-19 during April 2020. For the sake of comparison and convenience, both the target population and reduced target population analysis are done simultaneously to clearly show the horrors of a pandemic wave.

Observing one Variable from Target Population and Reduced Target Population

The one variable that I would like to focus on is the daily COVID-19 cases. Comparison of daily COVID-19 cases throughout the pandemic and during the peak will help us see the dire picture of a pandemic during its peak. At the same time, at the beginning of the pandemic, the hospitals in New York City were also not ready for such a rise in cases - due to the lack of PPE, ventilators, other medical equipment, COVID-19 beds, and the limited capacity of hospitals. That said, the other variable that I would like to briefly expand on is the mortality rate - the percentage of total death counts to total case counts -- and compare it to the mortality rate during the first wave when the hospitals were not prepared.

Measures of Central Tendency: The central tendency values will help us understand the difference between the COVID-19 cases as a whole compared to during the peak (first wave). The average of total number of cases in 279 days compared to the average of cases in 46 days of the peak.

Target Population:

\mu_{y}=\frac{1+0+0+1+5+...+5047+5116+3479+3563+6130+...+2665+2087+1126}{279}

\mu _{y}=1101.32

Reduced Target Population:

\mu _{z}=\frac{\varepsilon zi}{N}=\frac{()2971+3707+4007+..+2022+1887+1058)}{46}=3693.46

The daily average COVID-19 case count during the first wave was almost four times higher compared to overall daily average COVID-19 case count. This is also a good example of the fact that the simple average is not always completely satisfactory -- especially since the data is so spread out (Table 1).

Table 1 shows, as expected, that the mortality rate was almost +3% higher during the peak when the hospitals were not prepared for such pandemic and were also at capacity. Hence, it is

Important for health officials and leaders to keep this mind as we prepare for a second wave or any future health crisis -- we need to have enough stockpiles of PPE, ventilators, necessary medical equipment, and possible solutions to create more beds if the need arise.

Range: As discussed above, we expect a huge range for both target population and reduced target population (target population little more compared to our reduced target population).

Target Population: Range: Highest Daily Count - Lowest Daily Count = 6353 - 0 = 6353.

Reduce Target Population: Range: Highest Daily Count - Lowest Daily Count 6353 - 1003 = 5350.

Unadjusted Variance : Target Population: The population variance is 1,867,102. This massive number tells the tale of a pandemic wave. The cases went from zero to thousands and then to hundreds (due to measures taken by the government) and it shows in its distribution of the data

\sigma ^{2}z=\frac{(2971-3693.46)^{2}+..+(1887-3693.3)^{2}+(1058-3693.46)^{2}}{46}

\sigma ^{2}z=1,867,102

Reduced Target Population: The reduced population variance is also very high at 1,890,887.

\sigma ^{2}z=\frac{(2971-3693.46)^{2}+..+(1887-3693.3)^{2}+(1058-3693.46)^{2}}{46}

\sigma ^{2}z=1,890,887

Plot of Data:

Target Population: (Figure 1)

Reduced Target Population: (Figure 2)

Sampling Distribution

Initially, with my reduced target population, I wanted to stick with the pandemic wave at N=46 -- to show the impact of a wave. However, here, I would like to reduce it further to N=8 -- with those eight days being the ones at the top of the peak.

These days (N=8) and their daily COVID-19 case counts are as follows: 3/30/2020 = 6130, 3/31/2020 = 5459, 4/1/2020 = 5449, 4/2/2020 = 5748, 4/3/2020 = 5670, 4/4/2020 = 3865, 4/5/2020 = 3781, 4/6/2020 = 6353.

A sampling distribution is created using this data points of N=8 by creating combinations of values to make samples of n=3. This sampling distribution was created with equal probability without replacement 8C3 = 8!/5!3! = (8x7x6)/6 = 56 different samples. For each sample, mean is calculated, and the Table 2 is called the sampling distribution of sample means (Table 2) (Figure 3).

Table 1: Mortality Rate of COVID-19 cases: Total vs First Wave Only.

COVID-19 Overall First Wave
Case Count 307268 169899
Death Count 19619 15296
Mortality Rate 6.39% 9.00%

Table 2: Sampling Distribution of All Sample Means

Sampling Distribution of y (3 values from 8)
Sample 
Number
Sample Units Sample Mean y
1 6130,5459,5449 5679.33
2 6130,5459,5748 5779
3 6130,5459,5670 5753
4 6130,5459,3865 5151.33
5 6130,5459,3781 5123.33
6 6130,5459,6353 5980.67
7 6130,5449,5748 5775.67
8 6130,5449,5670 5749.67
9 6130,5449,3865 5148
10 6130,5449,3781 5120
11 6130,5449,6353 5977.33
12 6130,5748,5670 5849.33
13 6130,5748,3865 5247.67
14 6130,5748,3781 5219.67
15 6130,5748,6353 6077
16 6130,5670,3865 5221.67
17 6130,5670,3781 5193.67
18 6130,5670,6353 6051
19 6130,3865,3781 4592
20 6130,3865,6353 5449.33
21 6130,3781,6353 5421.33
22 5459,5449,5748 5552
23 5459,5449,5670 5526
24 5459,5449,3865 4924.33
25 5459,5449,3781 4896.33
26 5459,5449,6353 5753.67
27 5449,5748,5670 5622.33
28 5449,5748,3865 5020.67
29 5449,5748,3781 4992.67
30 5449,5748,6353 5850
31 5748,5670,3865 5094.33
32 5748,5670,3781 5066.33
33 5748,5670,6353 5923.67
34 5449,5670,3865 4994.67
35 5449,5670,3781 4966.67
36 5449,5670,6353 5824
37 5449,3865,3781 4365
38 5449,3865,6353 5222.33
39 5449,3781,6353 5194.33
40 5748,3865,3781 4464.67
41 5748,3865,6353 5322
42 5748,3781,6353 5294
43 5670,3865,3781 4438.67
44 5670,3865,6353 5296
45 5670,3781,6353 5268
46 3865,3781,6353 4666.33
47 5459,5748,5670 5625.67
48 5459,5748,3865 5024
49 5459,5748,3781 4996
50 5459,5748,6353 5853.33
51 5459,5670,3865 4998
52 5459,5670,3781 4970
53 5459,5670,6353 5827.33
54 5459,3865,3781 4368.33
55 5459,3865,6353 5225.67
56 5459,3781,6353 5197.67

 

DISCUSSION

Results and Conclusion

The results showed us the effect on mortality rates when the hospitals are not prepared for a pandemic. Initially, with a lack of necessary medical equipment, we saw the mortality rate due to COVID-19 cases rose to 9.00%. Due to this, there has been an awareness among politicians and healthcare leaders about the need of being prepared for a pandemic -- stockpiling necessary medical equipment and revising protocols on how to deal with such an increasing number of cases.

The dispersion of the data was as expected. The data is spread out quite a bit, and it showed in the results of the range, variance, and standard deviation for both target population and reduced target population. However, the key statistic within the results was the comparison of the overall average of daily COVID-19 to that of during the first wave. The average overall daily cases (which included the first wave) was 1101.32, while that during the first wave was a whopping 3693.46. As the cases have begun to increase again at a rapid pace, it is important to look at these results of the first pandemic wave -- not only the number of cases were more than three times the overall average, the mortality rate was also +3% greater. With more cases during a pandemic wave, the +3% means a lot more deaths.

Hence, it is necessary to take the appropriate steps to keep this pandemic under control. Especially now, with COVID-19 vaccines rolling out, the next few months will be crucial that will test our NYC health systems. I know that people are fed up with masks and restrictions -- but this is not the time to be shortsighted. With effective vaccines, the end of the pandemic might be near -- but it is still quite a few months away -- and hence, we should not let our guard down and we should be proactive in keeping the COVID-19 cases down. This is the time we need to watch the infection rate meter before making any decisions so that we do not trigger the second wave of new infections.

REFERENCES

COVID-19 daily counts of cases, hospitalizations, and deaths | NYC open data. (n.d.)

Received : 21 Dec 2020
Accepted : 06 Jan 2021
Published : 11 Jan 2021
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